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transition_to_stage transition_from_stage_name opportunity_type core_consumption_market core_product_segment core_sales_segment geography core_product_application progression_time_days remaining_deadline_days decision_time_days transition_time early_stages no_of_products product_status product_$ product_quantity target
112369 0.250000 0.250000 0.852629 0.872898 0.851281 0.954583 0.852580 0.890127 273.210000 -0.210000 273.000000 5.000000 0.000000 5.000000 0.000000 7992450.000000 54650.000000 1
246985 1.000000 0.250000 0.852629 0.848445 0.851281 0.865809 0.852580 0.890127 206.880000 3.120000 210.000000 2.670000 0.000000 2.000000 2.000000 215280.000000 1840.000000 1
227626 0.750000 0.750000 0.852629 0.793857 0.479953 0.865809 0.888289 0.523732 165.880000 134.120000 300.000000 7.670000 0.000000 1.000000 1.000000 120000.000000 10000.000000 0
232926 0.250000 0.250000 0.716273 0.872898 0.851281 0.733762 0.814970 0.878638 101.880000 44.120000 146.000000 21.100000 0.000000 1.000000 1.000000 2300000.000000 20000.000000 0
395851 0.750000 0.750000 0.852629 0.793857 0.851281 0.865809 0.780303 0.751358 95.210000 14.790000 110.000000 5.000000 0.000000 2.000000 1.000000 148000.000000 6000.000000 0

Pre Processing

Pre Processing - Imputations

Pre Processing - Imputations - Missing

No missing values in data

Pre Processing - Imputations - Infinitys

No Infinity values

Health Analysis

Health Plot

Missing Plot

Missing Value Summary

No Missing Values

Duplicate Columns

No duplicate variables

Outliers In Features

Data Shape:(63016, 18)
feature < (mean-3*std) > (mean+3*std) < (1stQ - 1.5 * IQR) > (3rdQ + 1.5 * IQR) -inf +inf
transition_to_stage 4175 0 4175 0 0 0
transition_from_stage_name 3833 0 3833 0 0 0
opportunity_type 0 0 6383 0 0 0
core_product_segment 2581 0 3436 0 0 0
core_sales_segment 0 0 12256 2048 0 0
core_product_application 1151 0 2129 0 0 0
remaining_deadline_days 0 0 0 1160 0 0
decision_time_days 0 1095 0 3013 0 0
transition_time 0 0 0 8679 0 0
no_of_products 0 1824 0 4456 0 0
product_$ 0 1235 0 7973 0 0
product_quantity 0 1203 0 8776 0 0
target 0 0 10193 0 0 0

Feature Analysis

Summary Stats

Summary Stats - Numeric Variables

Variable Name Datatype No of Unique Samples Mean Standard Deviation Min 25th percentile Median 75th percentile Max
0 core_consumption_market float64 15 [0.7469628175236225, 0.8728984751726835, 0.7512437810945274, 0.9167960260788575, 0.7764397905759163] 0.839125 0.056488 0.684488 0.793857 0.872898 0.872898 0.948258
1 core_product_application float64 14 [0.7513583837147012, 0.8786381285498829, 0.6348936170212766, 0.8901274477018541, 0.7398753894080997] 0.841492 0.078514 0.592498 0.786777 0.878638 0.890127 0.890127
2 core_product_segment float64 3 [0.8512808126350254, 0.6758375257740865, 0.7075471698113207] 0.842145 0.038178 0.675838 0.851281 0.851281 0.851281 0.851281
3 core_sales_segment float64 8 [0.7114444082164982, 0.8658086122830922, 0.6503496503496503, 0.7337618403247632, 0.7222222222222222] 0.839856 0.063486 0.650350 0.865809 0.865809 0.865809 0.954583
4 decision_time_days float64 350 [127.0, 28.0, 77.0, 95.0, 99.0] 74.521604 81.255842 -67.000000 16.000000 48.000000 112.000000 326.636000
5 geography float64 5 [0.7803030303030303, 0.8149700598802395, 0.8525798525798526, 0.8882890365448505, 0.8068251066422912] 0.838883 0.041464 0.780303 0.814970 0.814970 0.888289 0.888289
6 no_of_products float64 6 [1.0, 2.0, 3.0, 4.0, 5.910565428078694] 1.517470 1.122655 1.000000 1.000000 1.000000 2.000000 5.910565
7 opportunity_type float64 2 [0.8526290536535802, 0.7162726008344924] 0.838817 0.041141 0.716273 0.852629 0.852629 0.852629 0.852629
8 product_$ float64 2348 [24310.0, 6982.0, 1143500.0, 22000.0, 960000.0] 751691.751630 2134929.278371 0.000000 3375.000000 82500.000000 480000.000000 12957825.016772
9 product_quantity float64 1085 [1430.0, 62.0, 5040.0, 1000.0, 5000.0] 15483.914375 54179.190706 1.000000 41.000000 1000.000000 4080.000000 316028.560488
10 product_status float64 3 [2.0, 0.0, 1.0] 1.492177 0.647313 0.000000 1.000000 2.000000 2.000000 2.000000
11 progression_time_days float64 1272 [126.21, 301.21, 147.88, 258.88, 3.65] 122.525385 81.015433 0.540000 54.540000 111.210000 182.210000 309.210000
12 remaining_deadline_days float64 2130 [0.79, -273.21, -70.88, -163.88, 95.35] -47.983688 105.446988 -291.210000 -116.210000 -39.210000 13.790000 265.740500
13 transition_from_stage_name float64 6 [1.0, -0.9340748276274982, 0.5, 0.25, 0.75] 0.642808 0.511846 -0.934075 0.250000 1.000000 1.000000 1.000000
14 transition_time float64 394 [2.0, 5.0, 21.1, 7.67, 2.77] 9.275275 7.597414 0.420000 5.000000 5.000000 12.330000 26.330000
15 transition_to_stage float64 6 [1.0, -0.9301181822615341, 0.5, 0.25, 0.75] 0.667624 0.516627 -0.930118 0.500000 1.000000 1.000000 1.000000

Summary Stats - Non Numeric Variables

Variable Name Datatype No of Unique Samples Mode Mode Freq Mode Freq %
0 target int32 2 [1, 0] 1 52823 83.824743

Distributions

Distributions - Numeric Variables

Distributions - Numeric Variables - Core Consumption Market

Distributions - Numeric Variables - Core Product Application

Distributions - Numeric Variables - Core Product Segment

Distributions - Numeric Variables - Core Sales Segment

Distributions - Numeric Variables - Decision Time Days

Distributions - Numeric Variables - Geography

Distributions - Numeric Variables - No Of Products

Distributions - Numeric Variables - Opportunity Type

Distributions - Numeric Variables - Product $

Distributions - Numeric Variables - Product Quantity

Distributions - Numeric Variables - Product Status

Distributions - Numeric Variables - Progression Time Days

Distributions - Numeric Variables - Remaining Deadline Days

Distributions - Numeric Variables - Target

Distributions - Numeric Variables - Transition From Stage Name

Distributions - Numeric Variables - Transition Time

Distributions - Numeric Variables - Transition To Stage

Distributions - Non Numeric Variables

No categorical variables in data.

Feature Normality

Feature Interactions

Correlation Table

Variable 1 Variable 2 Corr Coef Abs Corr Coef
0 transition_from_stage_name transition_to_stage 0.945873 0.945873
1 product_status transition_to_stage 0.764927 0.764927
2 product_status transition_from_stage_name 0.742777 0.742777
3 product_$ product_quantity 0.686302 0.686302
4 target transition_to_stage 0.661084 0.661084
5 decision_time_days remaining_deadline_days 0.654523 0.654523
6 target transition_from_stage_name 0.621211 0.621211
7 progression_time_days remaining_deadline_days -0.616689 0.616689
8 core_sales_segment opportunity_type 0.584847 0.584847
9 product_status target 0.564560 0.564560
10 core_product_application core_product_segment 0.529854 0.529854
11 core_consumption_market core_sales_segment 0.475922 0.475922
12 product_status remaining_deadline_days -0.403247 0.403247
13 core_consumption_market opportunity_type 0.392051 0.392051
14 decision_time_days product_status -0.366615 0.366615
15 core_sales_segment product_quantity -0.357633 0.357633
16 core_product_segment core_sales_segment 0.352987 0.352987
17 core_product_application core_sales_segment 0.340883 0.340883
18 remaining_deadline_days transition_from_stage_name -0.337468 0.337468
19 opportunity_type product_quantity -0.322033 0.322033
20 remaining_deadline_days transition_to_stage -0.316596 0.316596
21 decision_time_days transition_to_stage -0.306591 0.306591
22 decision_time_days target -0.298647 0.298647
23 decision_time_days transition_from_stage_name -0.288902 0.288902
24 core_product_segment product_quantity -0.280139 0.280139
25 opportunity_type product_$ -0.268303 0.268303
26 remaining_deadline_days target -0.247363 0.247363
27 core_product_application target 0.243423 0.243423
28 core_consumption_market product_quantity -0.239498 0.239498
29 core_consumption_market geography 0.237104 0.237104
30 core_sales_segment product_$ -0.231463 0.231463
31 core_consumption_market core_product_segment 0.215766 0.215766
32 core_consumption_market core_product_application 0.214955 0.214955
33 geography opportunity_type 0.210935 0.210935
34 decision_time_days opportunity_type -0.200365 0.200365
35 decision_time_days product_quantity 0.197021 0.197021
36 core_consumption_market product_$ -0.187064 0.187064
37 core_sales_segment target 0.185509 0.185509
38 decision_time_days product_$ 0.185211 0.185211
39 core_product_application transition_from_stage_name 0.184546 0.184546
40 core_product_application transition_to_stage 0.184078 0.184078
41 decision_time_days progression_time_days 0.180723 0.180723
42 no_of_products product_$ 0.175762 0.175762
43 core_product_application product_quantity -0.174389 0.174389
44 core_sales_segment transition_to_stage 0.171385 0.171385
45 core_sales_segment transition_from_stage_name 0.165471 0.165471
46 core_sales_segment decision_time_days -0.157233 0.157233
47 core_consumption_market target 0.155978 0.155978
48 core_sales_segment geography 0.155451 0.155451
49 product_status progression_time_days 0.151422 0.151422
50 core_product_application product_status 0.150267 0.150267
51 progression_time_days transition_from_stage_name 0.144523 0.144523
52 core_product_segment target 0.143751 0.143751
53 progression_time_days transition_time -0.141629 0.141629
54 geography product_status 0.139968 0.139968
55 core_product_application opportunity_type 0.139647 0.139647
56 opportunity_type transition_to_stage 0.132636 0.132636
57 geography product_$ -0.132413 0.132413
58 core_sales_segment product_status 0.132352 0.132352
59 geography product_quantity -0.128608 0.128608
60 core_product_segment decision_time_days -0.128505 0.128505
61 core_product_segment opportunity_type 0.127521 0.127521
62 core_consumption_market transition_to_stage 0.126448 0.126448
63 opportunity_type transition_from_stage_name 0.125606 0.125606
64 core_product_application remaining_deadline_days -0.124770 0.124770
65 core_consumption_market transition_from_stage_name 0.124525 0.124525
66 core_product_application decision_time_days -0.123600 0.123600
67 product_quantity remaining_deadline_days 0.121416 0.121416
68 opportunity_type target 0.116346 0.116346
69 geography transition_from_stage_name 0.115822 0.115822
70 opportunity_type progression_time_days -0.113899 0.113899
71 geography transition_to_stage 0.112317 0.112317
72 geography target 0.112064 0.112064
73 core_product_segment transition_from_stage_name 0.109795 0.109795
74 decision_time_days geography -0.108692 0.108692
75 core_product_segment remaining_deadline_days -0.106181 0.106181
76 core_product_segment transition_to_stage 0.105572 0.105572
77 opportunity_type product_status 0.104619 0.104619
78 product_$ remaining_deadline_days 0.103175 0.103175
79 core_product_segment product_$ -0.101267 0.101267
80 progression_time_days transition_to_stage 0.101157 0.101157
81 geography remaining_deadline_days -0.100176 0.100176
82 core_consumption_market product_status 0.099132 0.099132
83 no_of_products target 0.099103 0.099103
84 core_sales_segment remaining_deadline_days -0.097598 0.097598
85 product_$ product_status -0.096452 0.096452
86 no_of_products transition_to_stage 0.094410 0.094410
87 core_consumption_market decision_time_days -0.092558 0.092558
88 no_of_products transition_from_stage_name 0.092375 0.092375
89 opportunity_type transition_time 0.089202 0.089202
90 product_quantity product_status -0.087286 0.087286
91 core_product_segment product_status 0.081988 0.081988
92 product_quantity target -0.076781 0.076781
93 product_quantity transition_to_stage -0.074528 0.074528
94 no_of_products product_quantity 0.071514 0.071514
95 product_quantity transition_from_stage_name -0.071260 0.071260
96 opportunity_type remaining_deadline_days -0.066898 0.066898
97 remaining_deadline_days transition_time 0.064931 0.064931
98 core_consumption_market remaining_deadline_days -0.059137 0.059137
99 no_of_products product_status -0.057250 0.057250
100 transition_from_stage_name transition_time 0.057128 0.057128
101 core_product_segment geography 0.053871 0.053871
102 core_sales_segment no_of_products 0.053405 0.053405
103 decision_time_days transition_time -0.052826 0.052826
104 product_$ progression_time_days 0.048929 0.048929
105 core_product_application no_of_products 0.048017 0.048017
106 core_product_application geography 0.046010 0.046010
107 geography transition_time 0.045380 0.045380
108 product_quantity progression_time_days 0.040132 0.040132
109 transition_time transition_to_stage 0.038315 0.038315
110 core_product_application progression_time_days 0.036170 0.036170
111 core_consumption_market no_of_products 0.033555 0.033555
112 no_of_products remaining_deadline_days -0.030874 0.030874
113 no_of_products progression_time_days 0.028570 0.028570
114 core_consumption_market transition_time 0.028145 0.028145
115 product_$ transition_to_stage -0.027739 0.027739
116 no_of_products transition_time -0.026519 0.026519
117 core_sales_segment progression_time_days -0.024318 0.024318
118 geography progression_time_days 0.024255 0.024255
119 product_$ transition_time -0.024197 0.024197
120 core_sales_segment transition_time 0.023354 0.023354
121 product_$ transition_from_stage_name -0.023011 0.023011
122 product_$ target -0.022808 0.022808
123 product_quantity transition_time -0.021852 0.021852
124 geography no_of_products -0.020277 0.020277
125 core_product_segment no_of_products 0.019092 0.019092
126 core_product_application transition_time 0.018717 0.018717
127 target transition_time 0.017899 0.017899
128 no_of_products opportunity_type 0.014313 0.014313
129 progression_time_days target 0.011653 0.011653
130 core_consumption_market progression_time_days -0.011188 0.011188
131 product_status transition_time 0.008815 0.008815
132 core_product_segment progression_time_days 0.008794 0.008794
133 decision_time_days no_of_products -0.008547 0.008547
134 core_product_segment transition_time 0.003953 0.003953
135 core_product_application product_$ -0.001629 0.001629

Correlation Heatmap

Covariance Heatmap

Bivariate Plots (top 50 Correlations)

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Transition From Stage Name

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Product Status

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Product Status

Bivariate Plots (top 50 Correlations) - Product Quantity Vs Product $

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Target

Bivariate Plots (top 50 Correlations) - Remaining Deadline Days Vs Decision Time Days

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Target

Bivariate Plots (top 50 Correlations) - Opportunity Type Vs Core Sales Segment

Bivariate Plots (top 50 Correlations) - Target Vs Product Status

Bivariate Plots (top 50 Correlations) - Core Product Segment Vs Core Product Application

Bivariate Plots (top 50 Correlations) - Core Sales Segment Vs Core Consumption Market

Bivariate Plots (top 50 Correlations) - Opportunity Type Vs Core Consumption Market

Bivariate Plots (top 50 Correlations) - Core Sales Segment Vs Core Product Segment

Bivariate Plots (top 50 Correlations) - Core Sales Segment Vs Core Product Application

Bivariate Plots (top 50 Correlations) - Target Vs Core Product Application

Bivariate Plots (top 50 Correlations) - Geography Vs Core Consumption Market

Bivariate Plots (top 50 Correlations) - Core Product Segment Vs Core Consumption Market

Bivariate Plots (top 50 Correlations) - Core Product Application Vs Core Consumption Market

Bivariate Plots (top 50 Correlations) - Opportunity Type Vs Geography

Bivariate Plots (top 50 Correlations) - Product Quantity Vs Decision Time Days

Bivariate Plots (top 50 Correlations) - Target Vs Core Sales Segment

Bivariate Plots (top 50 Correlations) - Product $ Vs Decision Time Days

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Core Product Application

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Core Product Application

Bivariate Plots (top 50 Correlations) - Progression Time Days Vs Decision Time Days

Bivariate Plots (top 50 Correlations) - Product $ Vs No Of Products

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Core Sales Segment

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Core Sales Segment

Bivariate Plots (top 50 Correlations) - Target Vs Core Consumption Market

Bivariate Plots (top 50 Correlations) - Geography Vs Core Sales Segment

Bivariate Plots (top 50 Correlations) - Progression Time Days Vs Product Status

Bivariate Plots (top 50 Correlations) - Product Status Vs Core Product Application

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Progression Time Days

Bivariate Plots (top 50 Correlations) - Target Vs Core Product Segment

Bivariate Plots (top 50 Correlations) - Product Status Vs Geography

Bivariate Plots (top 50 Correlations) - Opportunity Type Vs Core Product Application

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Opportunity Type

Bivariate Plots (top 50 Correlations) - Product Status Vs Core Sales Segment

Bivariate Plots (top 50 Correlations) - Opportunity Type Vs Core Product Segment

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Core Consumption Market

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Opportunity Type

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Core Consumption Market

Bivariate Plots (top 50 Correlations) - Remaining Deadline Days Vs Product Quantity

Bivariate Plots (top 50 Correlations) - Target Vs Opportunity Type

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Geography

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Geography

Bivariate Plots (top 50 Correlations) - Target Vs Geography

Bivariate Plots (top 50 Correlations) - Transition From Stage Name Vs Core Product Segment

Bivariate Plots (top 50 Correlations) - Transition To Stage Vs Core Product Segment

Bivariate Plots (top 50 Correlations) - Product Status Vs Opportunity Type

Key Drivers

Target

Target - Feature Scores - Feature Correlation

Target - Feature Importances - From Model

Target - Pca Analysis

Target - Pca Analysis - Pca Projection

Target - Pca Analysis - Correlation With Dimension 2 (y)

Target - Pca Analysis - Correlation With Dimension 1 (x)

Target - Bivariate Plots

Target - Bivariate Plots - Core Product Application

Target - Bivariate Plots - Transition From Stage Name

Target - Bivariate Plots - Product $

Target - Bivariate Plots - Transition Time

Target - Bivariate Plots - Geography

Target - Bivariate Plots - Remaining Deadline Days

Target - Bivariate Plots - No Of Products

Target - Bivariate Plots - Transition To Stage

Target - Bivariate Plots - Product Quantity

Target - Bivariate Plots - Progression Time Days

Target - Bivariate Plots - Core Product Segment

Target - Bivariate Plots - Product Status

Target - Bivariate Plots - Core Sales Segment

Target - Bivariate Plots - Decision Time Days

Target - Bivariate Plots - Opportunity Type

Target - Bivariate Plots - Core Consumption Market